Performance Attribution Analysis and Risk Ratios- Case study
Develop essential productivity & performance skills with expert instruction and practical examples.
What You'll Learn
Skills you'll gain:
Prerequisites & Target Audience
Skill Level
Requirements
Who This Course Is For
Course Information
About This Course
Performance attribution and appraisal are essential components of investment management and financial analysis. This course provides a comprehensive understanding of the methodologies and tools used to evaluate the performance of investment portfolios, funds, and assets. Participants will learn to assess the effectiveness of investment strategies and the contributions of individual investments to portfolio returns.
Introduction to Performance Evaluation:Understanding the importance of performance evaluation in investment management. Key performance metrics and benchmarks. Attribution Analysis:Decomposing portfolio returns into various components.
Assessing the impact of asset allocation, security selection, and market movements on performance. Risk-Adjusted Performance Measurement:Sharpe ratio, Treynor ratio, and other risk-adjusted performance measures. Evaluating risk-adjusted returns for informed decision-making.
Measuring Risk and Volatility:Standard deviation, beta, and tracking error. Understanding and managing portfolio risk. Practical Application:Real-world case studies and hands-on exercises.
Topics Covered
Course Details
Course Details
View pricing and check out the reviews. See what other learners had to say about the course.
$19.99
list price when the catalogue was read (2026-07-07); Udemy sale prices run lower
Affiliate disclosure: if you enroll through links on this page, the course provider may pay us a commission. This comes at no extra cost to you and does not influence how we describe courses.
This course includes:
Not sure if this is right for you?
Browse More Productivity & Performance CoursesWhere this course fits
Wider context: the fields we cover, the glossary and certification exams, all written by us rather than pulled from a provider feed.